Xiankang Tang

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Ph.D. Candidate

Department of Mechanical Engineering, TU Darmstadt, Germany

Email: XTang@tmm.tu-darmstadt.de

I am Xiankang Tang, a Ph.D. candidate at TU Darmstadt, Germany, currently affiliated with the Theory of Magnetic Materials Group, which I joined in late 2023. My research focuses on the simulation of Transmission Electron Microscopy (TEM) and the application of machine learning in materials science. Over the past year, I have gained significant expertise in TEM simulation using tools like Dr. Probe and abTEM, with a deep understanding of the underlying multiple scattering approach.

In my recent work, I developed a machine learning framework based on Bayesian optimization to accurately retrieve TEM device parameters and optimize atomic positions. I had the opportunity to present these findings at the DPG meeting in Berlin, where my research received positive feedback and sparked interest in further applications of these techniques in the field.

My academic journey began with a Bachelor's degree in Mechanical Engineering from Shandong University, China, followed by a Master's degree in the same field at Shandong University. Now, at TU Darmstadt, I am continuing to explore the frontiers of TEM simulation and machine learning to advance our understanding of magnetic materials at the atomic level.